Abstract: A system for generating a custom audio experience that is configured receive a first audio sample of a first impulse response corresponding to an interior of a vehicle, generate a first convolution reverb from the first audio sample, receive a second audio sample of a second impulse response corresponding to an audio equipment of the vehicle, generate an impulse response module from the second audio sample, generate combination module based on the first convolution reverb and the impulse response module, receive a third audio sample from a user, modify the third audio sample based on the combination module to generate a modified third audio sample, receive an indication of user input to play the modified third audio sample, and cause a user device to output the modified third audio sample.

Abstract: Examples relate to systems and methods for dynamically generating web pages for displaying database items based on metadata included in network URL requests. Some examples disclosed herein may enable receiving a URL comprising a plurality of segments, comparing each segment of the plurality of segments to known segment values, identifying, based on the comparison, searchable segments and one or more searchable categories for the searchable segments, independent of the order of the searchable segments within the URL, determining a search pattern based on the searchable segments and searchable segment categories, performing an inventory search based on the search pattern to return a list one or more inventory items, building web page metadata items based on the search pattern, and generating a web page comprising the web page metadata items and the list of inventory items.

Abstract: A system includes one or more processors configured to execute the instructions to dynamically link a plurality of content objects to a plurality of product pages, each content object and each product page having a first product tag. The system may assign each product page with a respective page score and each content object with a respective content score. The system may select a first product page having a first page score and a first content object having a first content score, compare the first content weight associated with the first content object to a first content threshold associated with the first product page and determine whether the first content object may be assigned to the first product page. When the first content weight is less than the first content threshold, the system may dynamically link the first content object with the first product page.

Abstract: A system for generating a 360-degree viewing experience may receive a plurality of images of an object from an image capture device, wherein each of the plurality of images corresponds to a different rotational orientation of the object relative to the image capture device. The system may detect, using a first machine learning model, the object in each of the plurality of images. The system may detect, using a second machine learning model, regions associated with identifiable object features in one or more images of the plurality of images. The system may assign feature metadata to the one or more images, the features metadata associated with one or more detected regions of the detected regions of the object in the one or more images. The system may publish, with an application programming interface, the plurality of images and the feature metadata for the 360-degree viewing experience.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform the steps of a method to automatically crop images. The system may convert a raw image into a grayscale image before applying an edge detection operator to the grayscale image to create an edge image. The system may then create a binary image based on the edge image, identify one or more contours in the binary image, and determine one or more contour bounding image areas surrounding the contour(s). Upon identifying contour bounding image area(s) having user-specified dimensional criteria, the system may determine a minimum bounded image area including those area(s), pad the minimum bounded image area, and crop the raw image based on the padded bounded area.

Abstract: A system includes memory devices storing instructions, and one or more processors configured to execute instructions performing method steps. The method may include training a generator, encoder, and discriminator of a synthetic image generation system to enable creation of synthetic images that comply with one or more image classification requirements. A generator and discriminator may be trained in an adversarial relationship. Training may be completed when the generator outputs a synthetic image that matches a target image beyond a first predetermined threshold of accuracy and the encoder outputs a latent feature vector that matches an input latent feature vector beyond a second predetermined threshold of accuracy. After training the system may be configured to generate synthetic images that comply with one or more image classification requirements.